Determination of bearing clearance by the application of neural networks
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
The aim of the work is to investigate the relationship between bearing radial clearance and vibration frequencies during service. The bearing clearance can be determined based on the energy spectrum of the rotation vibration by the application of neural networks. Experimental investigations are performed using two double-row self-aligning ball bearings and vibration sensors in order to examine this assumption. The bearing vibrations are recorded at different clearances and rotation frequencies and analyzed. The developed system can be used for monitoring or prediction of clearance during service.
| Original language | English |
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| Title of host publication | 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings : 2018 Confernce Proceedings |
| Number of pages | 4 |
| Place of Publication | Piscataway |
| Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
| Publication date | 26.12.2018 |
| Pages | 1620-1623 |
| Article number | 8589587 |
| ISBN (print) | 978-1-5386-4708-0 |
| ISBN (electronic) | 978-1-5386-4707-3 |
| DOIs | |
| Publication status | Published - 26.12.2018 |
| Event | 17th IEEE SENSORS Conference - SENSORS 2018 - Pullman New Delhi Aerocity, New Delhi, India Duration: 28.10.2018 → 31.10.2018 Conference number: 17 https://2018.ieee-sensorsconference.org/ http://ieee-sensors2018.org/ |
- Engineering